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A stochastic transcriptional switch model for single cell imaging data
Gene expression is made up of inherently stochastic processes within single cells and can be modeled through stochastic reaction networks (SRNs). In particular, SRNs capture the features of intrinsic variability arising from intracellular biochemical processes. We extend current models for gene expr...
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| Publicado no: | Biostatistics |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4570576/ https://ncbi.nlm.nih.gov/pubmed/25819987 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxv010 |
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